基于知识提炼的物联网设备强化学习实验研究

2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI:10.1109/ICTC49870.2020.9289526

Ingook Jang, Seonghyun Kim, Hyunseok Kim, Chan-Won Park, Jun Hee Park

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引用次数: 2

摘要

本文提供了一项使用蒸馏知识在物联网设备上进行强化学习的实验研究，其中具有训练有素的模型的教师将其转移给具有新模型的学生进行训练。实验结果表明，提取的知识可以有效地用于物联网设备上的新模型训练。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Experimental Study on Reinforcement Learning on IoT Devices with Distilled Knowledge

This paper provides an experimental study of reinforcement learning on IoT devices using distilled knowledge, whose a teacher with a well-trained model transfers to a student with a new model to be trained. The experimental results show that the distilled knowledge is effective to a new model training on IoT devices.

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2020 International Conference on Information and Communication Technology Convergence (ICTC)

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